Optimal Robust Beamforming for Interference and Multipath Mitigation in GNSS Arrays

In this paper, we introduce an optimal robust beamformer for detecting a desired signal in presence of noise, strong interferers of unknown directions-of-arrival (DOA), and multipath. The proposed approach achieves the highest possible signal-to-interference plus noise ratio (SINR) by optimally esti...

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Bibliographic Details
Published in2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 3; pp. III-693 - III-696
Main Authors Sahmoudi, M., Amin, M. G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Array signal processing
Beamforming
Covariance matrix
Direction of arrival estimation
Global Positioning System
GPS
interference
Interference constraints
Interference suppression
multipath
Noise robustness
robustness
Satellite navigation systems
Signal to noise ratio
Uncertainty
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Summary:In this paper, we introduce an optimal robust beamformer for detecting a desired signal in presence of noise, strong interferers of unknown directions-of-arrival (DOA), and multipath. The proposed approach achieves the highest possible signal-to-interference plus noise ratio (SINR) by optimally estimating the interference DOA, followed by a triply constrained robust Capon beamformer. More specifically, we maximize the SINR subject to nulling strong interferers and offer robustness against multipath and steering vector uncertainty. Unlike existing techniques, we examine explicitly the use of robust beamforming for multipath mitigation to enhance acquisition and tracking performance of GPS receivers.
ISBN:9781424407279
1424407273
ISSN:1520-6149
DOI:10.1109/ICASSP.2007.366774